Overview

Brought to you by YData

Dataset statistics

Number of variables	34
Number of observations	195196
Missing cells	1394442
Missing cells (%)	21.0%
Duplicate rows	1259
Duplicate rows (%)	0.6%
Total size in memory	50.6 MiB
Average record size in memory	272.0 B

Variable types

Numeric	11
Categorical	23

Alerts

Dataset has 1259 (0.6%) duplicate rows	Duplicates
`HEARAID` is highly overall correlated with `HEARING`	High correlation
`HEARING` is highly overall correlated with `HEARAID`	High correlation
`HEIGHT` is highly overall correlated with `SEX` and 1 other fields	High correlation
`NACCAGE` is highly overall correlated with `NACCAGEB`	High correlation
`NACCAGEB` is highly overall correlated with `NACCAGE`	High correlation
`NACCBMI` is highly overall correlated with `WEIGHT`	High correlation
`NACCFAM` is highly overall correlated with `NACCMOM`	High correlation
`NACCMOM` is highly overall correlated with `NACCFAM`	High correlation
`SEX` is highly overall correlated with `HEIGHT`	High correlation
`SMOKYRS` is highly overall correlated with `TOBAC100`	High correlation
`TOBAC100` is highly overall correlated with `SMOKYRS`	High correlation
`WEIGHT` is highly overall correlated with `HEIGHT` and 1 other fields	High correlation
`HISPANIC` is highly imbalanced (63.3%)	Imbalance
`HANDED` is highly imbalanced (65.3%)	Imbalance
`ALCOHOL` is highly imbalanced (77.9%)	Imbalance
`CVHATT` is highly imbalanced (76.6%)	Imbalance
`CVAFIB` is highly imbalanced (68.7%)	Imbalance
`CVCHF` is highly imbalanced (85.7%)	Imbalance
`CBSTROKE` is highly imbalanced (77.6%)	Imbalance
`CBTIA` is highly imbalanced (76.4%)	Imbalance
`DIABETES` is highly imbalanced (59.7%)	Imbalance
`NACCAGE` has 3596 (1.8%) missing values	Missing
`EDUC` has 3869 (2.0%) missing values	Missing
`NACCFAM` has 17766 (9.1%) missing values	Missing
`NACCMOM` has 6192 (3.2%) missing values	Missing
`NACCDAD` has 8259 (4.2%) missing values	Missing
`TOBAC100` has 72924 (37.4%) missing values	Missing
`SMOKYRS` has 76680 (39.3%) missing values	Missing
`ALCOHOL` has 72076 (36.9%) missing values	Missing
`CVHATT` has 72060 (36.9%) missing values	Missing
`CVAFIB` has 72261 (37.0%) missing values	Missing
`CVCHF` has 72017 (36.9%) missing values	Missing
`CBSTROKE` has 72131 (37.0%) missing values	Missing
`CBTIA` has 72822 (37.3%) missing values	Missing
`DIABETES` has 72087 (36.9%) missing values	Missing
`HYPERTEN` has 72089 (36.9%) missing values	Missing
`HYPERCHO` has 72800 (37.3%) missing values	Missing
`NACCTBI` has 72904 (37.3%) missing values	Missing
`APNEA` has 176330 (90.3%) missing values	Missing
`DEP2YRS` has 72802 (37.3%) missing values	Missing
`NACCBMI` has 25911 (13.3%) missing values	Missing
`HEIGHT` has 26396 (13.5%) missing values	Missing
`WEIGHT` has 36247 (18.6%) missing values	Missing
`HEARING` has 28725 (14.7%) missing values	Missing
`HEARAID` has 28061 (14.4%) missing values	Missing
`BPSYS` has 39586 (20.3%) missing values	Missing
`BPDIAS` has 42454 (21.7%) missing values	Missing
`SMOKYRS` has 67139 (34.4%) zeros	Zeros

Reproduction

Analysis started	2025-11-16 06:49:46.447889
Analysis finished	2025-11-16 06:50:27.292197
Duration	40.84 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

NACCAGE
Real number (ℝ)

High correlation Missing

Distinct	91
Distinct (%)	< 0.1%
Missing	3596
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	74.101628

Minimum	18
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	18
5-th percentile	57
Q1	68
median	75
Q3	81
95-th percentile	90
Maximum	110
Range	92
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	10.20492
Coefficient of variation (CV)	0.13771519
Kurtosis	1.3056095
Mean	74.101628
Median Absolute Deviation (MAD)	7
Skewness	-0.56514514
Sum	14197872
Variance	104.14039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	7882	4.0%
74	7788	4.0%
77	7778	4.0%
76	7748	4.0%
73	7616	3.9%
78	7511	3.8%
79	7423	3.8%
72	7342	3.8%
80	7132	3.7%
71	7043	3.6%
Other values (81)	116337	59.6%

Value	Count	Frequency (%)
18	10	< 0.1%
19	9	< 0.1%
20	12	< 0.1%
21	23	< 0.1%
22	24	< 0.1%
23	32	< 0.1%
24	25	< 0.1%
25	33	< 0.1%
26	38	< 0.1%
27	31	< 0.1%

Value	Count	Frequency (%)
110	2	< 0.1%
109	2	< 0.1%
108	3	< 0.1%
107	4	< 0.1%
106	7	< 0.1%
105	13	< 0.1%
104	25	< 0.1%
103	40	< 0.1%
102	51	< 0.1%
101	102	0.1%

NACCAGEB
Real number (ℝ)

High correlation

Distinct	88
Distinct (%)	< 0.1%
Missing	1636
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	70.930921

Minimum	18
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	18
5-th percentile	55
Q1	65
median	71
Q3	78
95-th percentile	85
Maximum	110
Range	92
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.7870752
Coefficient of variation (CV)	0.13798038
Kurtosis	1.4540608
Mean	70.930921
Median Absolute Deviation (MAD)	6
Skewness	-0.58276968
Sum	13729389
Variance	95.786842
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72	8362	4.3%
73	8303	4.3%
70	8230	4.2%
75	7828	4.0%
69	7729	4.0%
74	7602	3.9%
68	7600	3.9%
67	7588	3.9%
71	7525	3.9%
77	7264	3.7%
Other values (78)	115529	59.2%

Value	Count	Frequency (%)
18	31	< 0.1%
19	19	< 0.1%
20	13	< 0.1%
21	35	< 0.1%
22	62	< 0.1%
23	22	< 0.1%
24	24	< 0.1%
25	37	< 0.1%
26	29	< 0.1%
27	44	< 0.1%

Value	Count	Frequency (%)
110	1	< 0.1%
109	2	< 0.1%
106	1	< 0.1%
104	9	< 0.1%
103	7	< 0.1%
102	10	< 0.1%
101	25	< 0.1%
100	37	< 0.1%
98	34	< 0.1%
97	122	0.1%

SEX
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.3 MiB

2	113408
1	81788

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	195196
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

Most occurring characters

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	113408	58.1%
1	81788	41.9%

EDUC
Real number (ℝ)

Missing

Distinct	30
Distinct (%)	< 0.1%
Missing	3869
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.667334

Minimum	0
Maximum	31
Zeros	214
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	14
median	16
Q3	18
95-th percentile	20
Maximum	31
Range	31
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.1220872
Coefficient of variation (CV)	0.19927367
Kurtosis	2.2708616
Mean	15.667334
Median Absolute Deviation (MAD)	2
Skewness	-0.85581899
Sum	2997584
Variance	9.7474283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
16	46641	23.9%
18	41211	21.1%
12	29944	15.3%
14	19639	10.1%
20	18926	9.7%
13	8956	4.6%
15	6099	3.1%
17	5269	2.7%
19	5018	2.6%
10	1890	1.0%
Other values (20)	7734	4.0%
(Missing)	3869	2.0%

Value	Count	Frequency (%)
0	214	0.1%
1	147	0.1%
2	337	0.2%
3	563	0.3%
4	376	0.2%
5	402	0.2%
6	1109	0.6%
7	647	0.3%
10	1890	1.0%
11	1799	0.9%

Value	Count	Frequency (%)
31	2	< 0.1%
30	11	< 0.1%
29	16	< 0.1%
28	12	< 0.1%
27	14	< 0.1%
26	72	< 0.1%
25	199	0.1%
24	190	0.1%
23	219	0.1%
22	493	0.3%

MARISTAT
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	896
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.7444364

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1966998
Coefficient of variation (CV)	0.6860094
Kurtosis	2.8334332
Mean	1.7444364
Median Absolute Deviation (MAD)	0
Skewness	1.838749
Sum	338944
Variance	1.4320904
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	118996	61.0%
2	37543	19.2%
3	22711	11.6%
5	10137	5.2%
6	3196	1.6%
4	1717	0.9%
(Missing)	896	0.5%

Value	Count	Frequency (%)
1	118996	61.0%
2	37543	19.2%
3	22711	11.6%
4	1717	0.9%
5	10137	5.2%
6	3196	1.6%

Value	Count	Frequency (%)
6	3196	1.6%
5	10137	5.2%
4	1717	0.9%
3	22711	11.6%
2	37543	19.2%
1	118996	61.0%

NACCLIVS
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	324
Missing (%)	0.2%
Memory size	9.7 MiB

2.0	114901
1.0	49827
3.0	15487
4.0	10916
5.0	3741

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	584616
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
2.0	114901	58.9%
1.0	49827	25.5%
3.0	15487	7.9%
4.0	10916	5.6%
5.0	3741	1.9%
(Missing)	324	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	114901	59.0%
1.0	49827	25.6%
3.0	15487	7.9%
4.0	10916	5.6%
5.0	3741	1.9%

Most occurring characters

Value	Count	Frequency (%)
.	194872	33.3%
0	194872	33.3%
2	114901	19.7%
1	49827	8.5%
3	15487	2.6%
4	10916	1.9%
5	3741	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	584616	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	194872	33.3%
0	194872	33.3%
2	114901	19.7%
1	49827	8.5%
3	15487	2.6%
4	10916	1.9%
5	3741	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	584616	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	194872	33.3%
0	194872	33.3%
2	114901	19.7%
1	49827	8.5%
3	15487	2.6%
4	10916	1.9%
5	3741	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	584616	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	194872	33.3%
0	194872	33.3%
2	114901	19.7%
1	49827	8.5%
3	15487	2.6%
4	10916	1.9%
5	3741	0.6%

RACE
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	832
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.8438806

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	50
Range	49
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.3765611
Coefficient of variation (CV)	2.9158944
Kurtosis	74.850209
Mean	1.8438806
Median Absolute Deviation (MAD)	0
Skewness	8.6934278
Sum	358384
Variance	28.907409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	159740	81.8%
2	25870	13.3%
5	4993	2.6%
50	2351	1.2%
3	1251	0.6%
4	159	0.1%
(Missing)	832	0.4%

Value	Count	Frequency (%)
1	159740	81.8%
2	25870	13.3%
3	1251	0.6%
4	159	0.1%
5	4993	2.6%
50	2351	1.2%

Value	Count	Frequency (%)
50	2351	1.2%
5	4993	2.6%
4	159	0.1%
3	1251	0.6%
2	25870	13.3%
1	159740	81.8%

HISPANIC
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	677
Missing (%)	0.3%
Memory size	9.7 MiB

0.0	180829
1.0	13690

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	583557
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	180829	92.6%
1.0	13690	7.0%
(Missing)	677	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	180829	93.0%
1.0	13690	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	375348	64.3%
.	194519	33.3%
1	13690	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	583557	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	375348	64.3%
.	194519	33.3%
1	13690	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	583557	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	375348	64.3%
.	194519	33.3%
1	13690	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	583557	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	375348	64.3%
.	194519	33.3%
1	13690	2.3%

HANDED
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	1032
Missing (%)	0.5%
Memory size	9.7 MiB

2.0	174371
1.0	15733
3.0	4060

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	582492
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	174371	89.3%
1.0	15733	8.1%
3.0	4060	2.1%
(Missing)	1032	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	174371	89.8%
1.0	15733	8.1%
3.0	4060	2.1%

Most occurring characters

Value	Count	Frequency (%)
.	194164	33.3%
0	194164	33.3%
2	174371	29.9%
1	15733	2.7%
3	4060	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	582492	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	194164	33.3%
0	194164	33.3%
2	174371	29.9%
1	15733	2.7%
3	4060	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	582492	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	194164	33.3%
0	194164	33.3%
2	174371	29.9%
1	15733	2.7%
3	4060	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	582492	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	194164	33.3%
0	194164	33.3%
2	174371	29.9%
1	15733	2.7%
3	4060	0.7%

NACCFAM
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	17766
Missing (%)	9.1%
Memory size	9.7 MiB

1.0	109780
0.0	67650

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	532290
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	109780	56.2%
0.0	67650	34.7%
(Missing)	17766	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	109780	61.9%
0.0	67650	38.1%

Most occurring characters

Value	Count	Frequency (%)
0	245080	46.0%
.	177430	33.3%
1	109780	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	532290	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	245080	46.0%
.	177430	33.3%
1	109780	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	532290	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	245080	46.0%
.	177430	33.3%
1	109780	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	532290	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	245080	46.0%
.	177430	33.3%
1	109780	20.6%

NACCMOM
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	6192
Missing (%)	3.2%
Memory size	9.7 MiB

0.0	118225
1.0	70779

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	567012
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	118225	60.6%
1.0	70779	36.3%
(Missing)	6192	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	118225	62.6%
1.0	70779	37.4%

Most occurring characters

Value	Count	Frequency (%)
0	307229	54.2%
.	189004	33.3%
1	70779	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	567012	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	307229	54.2%
.	189004	33.3%
1	70779	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	567012	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	307229	54.2%
.	189004	33.3%
1	70779	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	567012	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	307229	54.2%
.	189004	33.3%
1	70779	12.5%

NACCDAD
Categorical

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	8259
Missing (%)	4.2%
Memory size	9.7 MiB

0.0	151869
1.0	35068

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	560811
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	151869	77.8%
1.0	35068	18.0%
(Missing)	8259	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	151869	81.2%
1.0	35068	18.8%

Most occurring characters

Value	Count	Frequency (%)
0	338806	60.4%
.	186937	33.3%
1	35068	6.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	560811	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	338806	60.4%
.	186937	33.3%
1	35068	6.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	560811	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	338806	60.4%
.	186937	33.3%
1	35068	6.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	560811	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	338806	60.4%
.	186937	33.3%
1	35068	6.3%

TOBAC100
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	72924
Missing (%)	37.4%
Memory size	10.0 MiB

0.0	67157
1.0	55115

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366816
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	67157	34.4%
1.0	55115	28.2%
(Missing)	72924	37.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	67157	54.9%
1.0	55115	45.1%

Most occurring characters

Value	Count	Frequency (%)
0	189429	51.6%
.	122272	33.3%
1	55115	15.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366816	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	189429	51.6%
.	122272	33.3%
1	55115	15.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366816	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	189429	51.6%
.	122272	33.3%
1	55115	15.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366816	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	189429	51.6%
.	122272	33.3%
1	55115	15.0%

SMOKYRS
Real number (ℝ)

High correlation Missing Zeros

Distinct	82
Distinct (%)	0.1%
Missing	76680
Missing (%)	39.3%
Infinite	0
Infinite (%)	0.0%
Mean	9.8847919

Minimum	0
Maximum	84
Zeros	67139
Zeros (%)	34.4%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	18
95-th percentile	43
Maximum	84
Range	84
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	15.107277
Coefficient of variation (CV)	1.5283354
Kurtosis	1.4683876
Mean	9.8847919
Median Absolute Deviation (MAD)	0
Skewness	1.5208037
Sum	1171506
Variance	228.22982
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	67139	34.4%
20	5680	2.9%
10	4352	2.2%
30	3757	1.9%
15	3089	1.6%
25	2574	1.3%
40	2463	1.3%
5	2260	1.2%
2	1632	0.8%
4	1402	0.7%
Other values (72)	24168	12.4%
(Missing)	76680	39.3%

Value	Count	Frequency (%)
0	67139	34.4%
1	1340	0.7%
2	1632	0.8%
3	1330	0.7%
4	1402	0.7%
5	2260	1.2%
6	906	0.5%
7	730	0.4%
10	4352	2.2%
11	379	0.2%

Value	Count	Frequency (%)
84	1	< 0.1%
82	4	< 0.1%
81	3	< 0.1%
80	15	< 0.1%
79	1	< 0.1%
78	3	< 0.1%
77	1	< 0.1%
76	7	< 0.1%
75	13	< 0.1%
74	8	< 0.1%

ALCOHOL
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72076
Missing (%)	36.9%
Memory size	10.0 MiB

0.0	116054
2.0	6121
1.0	945

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369360
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	116054	59.5%
2.0	6121	3.1%
1.0	945	0.5%
(Missing)	72076	36.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	116054	94.3%
2.0	6121	5.0%
1.0	945	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	239174	64.8%
.	123120	33.3%
2	6121	1.7%
1	945	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369360	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	239174	64.8%
.	123120	33.3%
2	6121	1.7%
1	945	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369360	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	239174	64.8%
.	123120	33.3%
2	6121	1.7%
1	945	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369360	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	239174	64.8%
.	123120	33.3%
2	6121	1.7%
1	945	0.3%

CVHATT
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72060
Missing (%)	36.9%
Memory size	10.0 MiB

0.0	115537
2.0	6528
1.0	1071

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369408
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	115537	59.2%
2.0	6528	3.3%
1.0	1071	0.5%
(Missing)	72060	36.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115537	93.8%
2.0	6528	5.3%
1.0	1071	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	238673	64.6%
.	123136	33.3%
2	6528	1.8%
1	1071	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369408	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	238673	64.6%
.	123136	33.3%
2	6528	1.8%
1	1071	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369408	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	238673	64.6%
.	123136	33.3%
2	6528	1.8%
1	1071	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369408	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	238673	64.6%
.	123136	33.3%
2	6528	1.8%
1	1071	0.3%

CVAFIB
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72261
Missing (%)	37.0%
Memory size	10.0 MiB

0.0	112450
1.0	7355
2.0	3130

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	368805
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	112450	57.6%
1.0	7355	3.8%
2.0	3130	1.6%
(Missing)	72261	37.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	112450	91.5%
1.0	7355	6.0%
2.0	3130	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	235385	63.8%
.	122935	33.3%
1	7355	2.0%
2	3130	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	368805	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	235385	63.8%
.	122935	33.3%
1	7355	2.0%
2	3130	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	368805	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	235385	63.8%
.	122935	33.3%
1	7355	2.0%
2	3130	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	368805	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	235385	63.8%
.	122935	33.3%
1	7355	2.0%
2	3130	0.8%

CVCHF
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72017
Missing (%)	36.9%
Memory size	10.0 MiB

0.0	119400
1.0	2501
2.0	1278

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369537
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	119400	61.2%
1.0	2501	1.3%
2.0	1278	0.7%
(Missing)	72017	36.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	119400	96.9%
1.0	2501	2.0%
2.0	1278	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	242579	65.6%
.	123179	33.3%
1	2501	0.7%
2	1278	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369537	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	242579	65.6%
.	123179	33.3%
1	2501	0.7%
2	1278	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369537	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	242579	65.6%
.	123179	33.3%
1	2501	0.7%
2	1278	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369537	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	242579	65.6%
.	123179	33.3%
1	2501	0.7%
2	1278	0.3%

CBSTROKE
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72131
Missing (%)	37.0%
Memory size	10.0 MiB

0.0	116112
2.0	5504
1.0	1449

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369195
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	116112	59.5%
2.0	5504	2.8%
1.0	1449	0.7%
(Missing)	72131	37.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	116112	94.4%
2.0	5504	4.5%
1.0	1449	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	239177	64.8%
.	123065	33.3%
2	5504	1.5%
1	1449	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369195	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	239177	64.8%
.	123065	33.3%
2	5504	1.5%
1	1449	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369195	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	239177	64.8%
.	123065	33.3%
2	5504	1.5%
1	1449	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369195	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	239177	64.8%
.	123065	33.3%
2	5504	1.5%
1	1449	0.4%

CBTIA
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72822
Missing (%)	37.3%
Memory size	10.0 MiB

0.0	115041
2.0	5646
1.0	1687

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	367122
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	115041	58.9%
2.0	5646	2.9%
1.0	1687	0.9%
(Missing)	72822	37.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	115041	94.0%
2.0	5646	4.6%
1.0	1687	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	237415	64.7%
.	122374	33.3%
2	5646	1.5%
1	1687	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	367122	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	237415	64.7%
.	122374	33.3%
2	5646	1.5%
1	1687	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	367122	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	237415	64.7%
.	122374	33.3%
2	5646	1.5%
1	1687	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	367122	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	237415	64.7%
.	122374	33.3%
2	5646	1.5%
1	1687	0.5%

DIABETES
Categorical

Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72087
Missing (%)	36.9%
Memory size	10.0 MiB

0.0	106005
1.0	15703
2.0	1401

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369327
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	106005	54.3%
1.0	15703	8.0%
2.0	1401	0.7%
(Missing)	72087	36.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	106005	86.1%
1.0	15703	12.8%
2.0	1401	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	229114	62.0%
.	123109	33.3%
1	15703	4.3%
2	1401	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369327	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	229114	62.0%
.	123109	33.3%
1	15703	4.3%
2	1401	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369327	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	229114	62.0%
.	123109	33.3%
1	15703	4.3%
2	1401	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369327	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	229114	62.0%
.	123109	33.3%
1	15703	4.3%
2	1401	0.4%

HYPERTEN
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72089
Missing (%)	36.9%
Memory size	10.0 MiB

1.0	61900
0.0	55268
2.0	5939

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	369321
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	61900	31.7%
0.0	55268	28.3%
2.0	5939	3.0%
(Missing)	72089	36.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	61900	50.3%
0.0	55268	44.9%
2.0	5939	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	178375	48.3%
.	123107	33.3%
1	61900	16.8%
2	5939	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369321	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	178375	48.3%
.	123107	33.3%
1	61900	16.8%
2	5939	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369321	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	178375	48.3%
.	123107	33.3%
1	61900	16.8%
2	5939	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369321	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	178375	48.3%
.	123107	33.3%
1	61900	16.8%
2	5939	1.6%

HYPERCHO
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	72800
Missing (%)	37.3%
Memory size	10.0 MiB

1.0	61682
0.0	53182
2.0	7532

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	367188
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	61682	31.6%
0.0	53182	27.2%
2.0	7532	3.9%
(Missing)	72800	37.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	61682	50.4%
0.0	53182	43.5%
2.0	7532	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	175578	47.8%
.	122396	33.3%
1	61682	16.8%
2	7532	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	367188	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	175578	47.8%
.	122396	33.3%
1	61682	16.8%
2	7532	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	367188	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	175578	47.8%
.	122396	33.3%
1	61682	16.8%
2	7532	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	367188	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	175578	47.8%
.	122396	33.3%
1	61682	16.8%
2	7532	2.1%

NACCTBI
Categorical

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	72904
Missing (%)	37.3%
Memory size	10.0 MiB

0.0	106741
1.0	15551

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	366876
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	106741	54.7%
1.0	15551	8.0%
(Missing)	72904	37.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	106741	87.3%
1.0	15551	12.7%

Most occurring characters

Value	Count	Frequency (%)
0	229033	62.4%
.	122292	33.3%
1	15551	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	366876	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	229033	62.4%
.	122292	33.3%
1	15551	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	366876	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	229033	62.4%
.	122292	33.3%
1	15551	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	366876	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	229033	62.4%
.	122292	33.3%
1	15551	4.2%

APNEA
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	176330
Missing (%)	90.3%
Memory size	10.4 MiB

0.0	14884
1.0	3687
2.0	295

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	56598
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	14884	7.6%
1.0	3687	1.9%
2.0	295	0.2%
(Missing)	176330	90.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	14884	78.9%
1.0	3687	19.5%
2.0	295	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	33750	59.6%
.	18866	33.3%
1	3687	6.5%
2	295	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	56598	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	33750	59.6%
.	18866	33.3%
1	3687	6.5%
2	295	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	56598	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	33750	59.6%
.	18866	33.3%
1	3687	6.5%
2	295	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	56598	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	33750	59.6%
.	18866	33.3%
1	3687	6.5%
2	295	0.5%

DEP2YRS
Categorical

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	72802
Missing (%)	37.3%
Memory size	10.0 MiB

0.0	85565
1.0	36829

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	367182
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	85565	43.8%
1.0	36829	18.9%
(Missing)	72802	37.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	85565	69.9%
1.0	36829	30.1%

Most occurring characters

Value	Count	Frequency (%)
0	207959	56.6%
.	122394	33.3%
1	36829	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	367182	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	207959	56.6%
.	122394	33.3%
1	36829	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	367182	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	207959	56.6%
.	122394	33.3%
1	36829	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	367182	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	207959	56.6%
.	122394	33.3%
1	36829	10.0%

NACCBMI
Real number (ℝ)

High correlation Missing

Distinct	479
Distinct (%)	0.3%
Missing	25911
Missing (%)	13.3%
Infinite	0
Infinite (%)	0.0%
Mean	96.994689

Minimum	9.6
Maximum	888.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	9.6
5-th percentile	20.2
Q1	23.7
median	26.8
Q3	31.2
95-th percentile	888.8
Maximum	888.8
Range	879.2
Interquartile range (IQR)	7.5

Descriptive statistics

Standard deviation	235.33193
Coefficient of variation (CV)	2.4262353
Kurtosis	7.405259
Mean	96.994689
Median Absolute Deviation (MAD)	3.5
Skewness	3.0658013
Sum	16419746
Variance	55381.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
888.8	13734	7.0%
25.8	1957	1.0%
25.1	1846	0.9%
26.6	1819	0.9%
23	1692	0.9%
25.5	1595	0.8%
24.4	1592	0.8%
24	1553	0.8%
25.2	1552	0.8%
28.3	1523	0.8%
Other values (469)	140422	71.9%
(Missing)	25911	13.3%

Value	Count	Frequency (%)
9.6	1	< 0.1%
9.9	1	< 0.1%
10.3	1	< 0.1%
10.5	1	< 0.1%
11.6	1	< 0.1%
11.9	1	< 0.1%
12.1	1	< 0.1%
12.2	2	< 0.1%
12.6	2	< 0.1%
12.8	2	< 0.1%

Value	Count	Frequency (%)
888.8	13734	7.0%
84.2	1	< 0.1%
68.6	1	< 0.1%
66.8	1	< 0.1%
64.9	1	< 0.1%
64.4	1	< 0.1%
64	1	< 0.1%
62.6	1	< 0.1%
62.4	1	< 0.1%
62.3	1	< 0.1%

HEIGHT
Real number (ℝ)

High correlation Missing

Distinct	288
Distinct (%)	0.2%
Missing	26396
Missing (%)	13.5%
Infinite	0
Infinite (%)	0.0%
Mean	67.151041

Minimum	37
Maximum	88.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	37
5-th percentile	59.7
Q1	63
median	66
Q3	69.2
95-th percentile	88.8
Maximum	88.8
Range	51.8
Interquartile range (IQR)	6.2

Descriptive statistics

Standard deviation	7.0085664
Coefficient of variation (CV)	0.10437018
Kurtosis	3.5266403
Mean	67.151041
Median Absolute Deviation (MAD)	3
Skewness	1.8010321
Sum	11335096
Variance	49.120002
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.8	11445	5.9%
64	9361	4.8%
63	9257	4.7%
65	8887	4.6%
62	8881	4.5%
66	8656	4.4%
67	7931	4.1%
68	7418	3.8%
69	6724	3.4%
70	6509	3.3%
Other values (278)	83731	42.9%
(Missing)	26396	13.5%

Value	Count	Frequency (%)
37	1	< 0.1%
46	5	< 0.1%
46.5	1	< 0.1%
47	2	< 0.1%
48	6	< 0.1%
48.1	1	< 0.1%
48.3	1	< 0.1%
48.5	2	< 0.1%
48.8	2	< 0.1%
49	19	< 0.1%

Value	Count	Frequency (%)
88.8	11445	5.9%
84	1	< 0.1%
82	2	< 0.1%
81.3	1	< 0.1%
81	2	< 0.1%
80.9	1	< 0.1%
80.7	1	< 0.1%
80	8	< 0.1%
79.8	1	< 0.1%
79.5	3	< 0.1%

WEIGHT
Real number (ℝ)

High correlation Missing

Distinct	324
Distinct (%)	0.2%
Missing	36247
Missing (%)	18.6%
Infinite	0
Infinite (%)	0.0%
Mean	166.30408

Minimum	54
Maximum	443
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	54
5-th percentile	113
Q1	139
median	162
Q3	188
95-th percentile	234
Maximum	443
Range	389
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	37.610357
Coefficient of variation (CV)	0.22615414
Kurtosis	1.0723658
Mean	166.30408
Median Absolute Deviation (MAD)	24
Skewness	0.75145521
Sum	26433868
Variance	1414.5389
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	2767	1.4%
160	2763	1.4%
170	2431	1.2%
140	2379	1.2%
180	2334	1.2%
165	2155	1.1%
130	2136	1.1%
155	2035	1.0%
145	2016	1.0%
175	1936	1.0%
Other values (314)	135997	69.7%
(Missing)	36247	18.6%

Value	Count	Frequency (%)
54	1	< 0.1%
55	1	< 0.1%
57	1	< 0.1%
62	1	< 0.1%
63	2	< 0.1%
65	2	< 0.1%
66	2	< 0.1%
67	2	< 0.1%
68	1	< 0.1%
70	3	< 0.1%

Value	Count	Frequency (%)
443	1	< 0.1%
424	1	< 0.1%
420	1	< 0.1%
409	1	< 0.1%
405	1	< 0.1%
404	1	< 0.1%
400	6	< 0.1%
399	1	< 0.1%
396	2	< 0.1%
393	2	< 0.1%

HEARING
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	28725
Missing (%)	14.7%
Memory size	9.8 MiB

1.0	124687
0.0	41784

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	499413
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	124687	63.9%
0.0	41784	21.4%
(Missing)	28725	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	124687	74.9%
0.0	41784	25.1%

Most occurring characters

Value	Count	Frequency (%)
0	208255	41.7%
.	166471	33.3%
1	124687	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	499413	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	208255	41.7%
.	166471	33.3%
1	124687	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	499413	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	208255	41.7%
.	166471	33.3%
1	124687	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	499413	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	208255	41.7%
.	166471	33.3%
1	124687	25.0%

HEARAID
Categorical

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	28061
Missing (%)	14.4%
Memory size	9.8 MiB

0.0	138400
1.0	28735

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	501405
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	138400	70.9%
1.0	28735	14.7%
(Missing)	28061	14.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	138400	82.8%
1.0	28735	17.2%

Most occurring characters

Value	Count	Frequency (%)
0	305535	60.9%
.	167135	33.3%
1	28735	5.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	501405	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	305535	60.9%
.	167135	33.3%
1	28735	5.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	501405	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	305535	60.9%
.	167135	33.3%
1	28735	5.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	501405	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	305535	60.9%
.	167135	33.3%
1	28735	5.7%

BPSYS
Real number (ℝ)

Missing

Distinct	163
Distinct (%)	0.1%
Missing	39586
Missing (%)	20.3%
Infinite	0
Infinite (%)	0.0%
Mean	138.08617

Minimum	60
Maximum	777
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	60
5-th percentile	106
Q1	120
median	132
Q3	145
95-th percentile	168
Maximum	777
Range	717
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	56.439911
Coefficient of variation (CV)	0.40872964
Kurtosis	110.70373
Mean	138.08617
Median Absolute Deviation (MAD)	12
Skewness	10.03217
Sum	21487589
Variance	3185.4636
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
130	9046	4.6%
140	7667	3.9%
120	7463	3.8%
110	5045	2.6%
138	4751	2.4%
128	4709	2.4%
132	4493	2.3%
122	4335	2.2%
150	4237	2.2%
118	4186	2.1%
Other values (153)	99678	51.1%
(Missing)	39586	20.3%

Value	Count	Frequency (%)
60	1	< 0.1%
68	1	< 0.1%
69	1	< 0.1%
70	7	< 0.1%
71	1	< 0.1%
72	4	< 0.1%
73	2	< 0.1%
74	2	< 0.1%
75	6	< 0.1%
76	4	< 0.1%

Value	Count	Frequency (%)
777	1077	0.6%
232	1	< 0.1%
230	8	< 0.1%
229	3	< 0.1%
227	1	< 0.1%
226	1	< 0.1%
225	4	< 0.1%
224	3	< 0.1%
223	4	< 0.1%
222	2	< 0.1%

BPDIAS
Real number (ℝ)

Missing

Distinct	109
Distinct (%)	0.1%
Missing	42454
Missing (%)	21.7%
Infinite	0
Infinite (%)	0.0%
Mean	79.432985

Minimum	30
Maximum	777
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	30
5-th percentile	59
Q1	68
median	74
Q3	80
95-th percentile	92
Maximum	777
Range	747
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	59.678535
Coefficient of variation (CV)	0.75130671
Kurtosis	128.63218
Mean	79.432985
Median Absolute Deviation (MAD)	6
Skewness	11.253991
Sum	12132753
Variance	3561.5275
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	15083	7.7%
80	13600	7.0%
78	7755	4.0%
72	7082	3.6%
60	6574	3.4%
68	5869	3.0%
82	5811	3.0%
76	5641	2.9%
74	5439	2.8%
75	4485	2.3%
Other values (99)	75403	38.6%
(Missing)	42454	21.7%

Value	Count	Frequency (%)
30	8	< 0.1%
31	1	< 0.1%
32	7	< 0.1%
33	5	< 0.1%
34	3	< 0.1%
35	3	< 0.1%
36	5	< 0.1%
37	7	< 0.1%
38	23	< 0.1%
39	9	< 0.1%

Value	Count	Frequency (%)
777	1077	0.6%
140	4	< 0.1%
139	1	< 0.1%
138	4	< 0.1%
137	2	< 0.1%
136	1	< 0.1%
135	4	< 0.1%
133	5	< 0.1%
132	3	< 0.1%
131	4	< 0.1%

NACCUDSD
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.3 MiB

1	100263
0	94933

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	195196
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Most occurring characters

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	195196	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	100263	51.4%
0	94933	48.6%

Interactions

Correlations

	ALCOHOL	APNEA	BPDIAS	BPSYS	CBSTROKE	CBTIA	CVAFIB	CVCHF	CVHATT	DEP2YRS	DIABETES	EDUC	HANDED	HEARAID	HEARING	HEIGHT	HISPANIC	HYPERCHO	HYPERTEN	MARISTAT	NACCAGE	NACCAGEB	NACCBMI	NACCDAD	NACCFAM	NACCLIVS	NACCMOM	NACCTBI	NACCUDSD	RACE	SEX	SMOKYRS	TOBAC100	WEIGHT
ALCOHOL	1.000	0.034	0.008	0.008	0.026	0.012	0.018	0.017	0.026	0.095	0.024	0.040	0.011	0.009	0.012	0.063	0.023	0.020	0.025	0.043	0.036	0.037	0.012	0.009	0.003	0.023	0.000	0.076	0.069	0.026	0.130	0.128	0.153	0.052
APNEA	0.034	1.000	0.012	0.014	0.029	0.036	0.060	0.045	0.041	0.104	0.090	0.015	0.014	0.072	0.069	0.092	0.000	0.088	0.116	0.042	0.050	0.050	0.000	0.009	0.000	0.026	0.000	0.054	0.049	0.000	0.181	0.026	0.029	0.210
BPDIAS	0.008	0.012	1.000	0.481	0.006	0.001	0.002	0.000	0.001	0.000	0.000	0.010	0.000	0.006	0.004	0.056	0.015	0.007	0.019	-0.017	-0.168	-0.162	0.127	0.012	0.010	0.016	0.014	0.014	0.042	0.058	0.000	-0.025	0.002	0.155
BPSYS	0.008	0.014	0.481	1.000	0.015	0.014	0.012	0.013	0.000	0.020	0.032	-0.062	0.008	0.022	0.024	-0.035	0.016	0.035	0.138	0.019	0.126	0.127	0.098	0.036	0.022	0.023	0.029	0.015	0.054	0.071	0.008	0.015	0.008	0.074
CBSTROKE	0.026	0.029	0.006	0.015	1.000	0.132	0.060	0.072	0.068	0.042	0.055	0.058	0.001	0.021	0.032	0.034	0.031	0.051	0.080	0.044	0.087	0.086	0.038	0.020	0.027	0.054	0.042	0.013	0.093	0.039	0.020	0.050	0.021	0.011
CBTIA	0.012	0.036	0.001	0.014	0.132	1.000	0.057	0.054	0.046	0.029	0.031	0.017	0.010	0.058	0.061	0.015	0.011	0.050	0.070	0.042	0.103	0.094	0.008	0.034	0.019	0.029	0.024	0.023	0.048	0.010	0.023	0.031	0.021	0.015
CVAFIB	0.018	0.060	0.002	0.012	0.060	0.057	1.000	0.152	0.084	0.005	0.009	0.026	0.012	0.073	0.075	0.043	0.048	0.042	0.066	0.033	0.122	0.114	0.003	0.030	0.030	0.023	0.029	0.024	0.020	0.022	0.075	0.028	0.034	0.027
CVCHF	0.017	0.045	0.000	0.013	0.072	0.054	0.152	1.000	0.140	0.029	0.065	0.030	0.012	0.043	0.056	0.024	0.010	0.041	0.074	0.050	0.106	0.100	0.024	0.034	0.029	0.046	0.040	0.008	0.028	0.024	0.019	0.037	0.023	0.034
CVHATT	0.026	0.041	0.001	0.000	0.068	0.046	0.084	0.140	1.000	0.009	0.066	0.028	0.006	0.051	0.057	0.028	0.012	0.103	0.089	0.024	0.080	0.078	0.015	0.031	0.024	0.008	0.032	0.013	0.037	0.018	0.110	0.066	0.062	0.035
DEP2YRS	0.095	0.104	0.000	0.020	0.042	0.029	0.005	0.029	0.009	1.000	0.026	0.064	0.007	0.009	0.000	0.046	0.053	0.034	0.037	0.024	0.087	0.086	0.036	0.017	0.019	0.081	0.018	0.043	0.225	0.052	0.034	0.042	0.030	0.016
DIABETES	0.024	0.090	0.000	0.032	0.055	0.031	0.009	0.065	0.066	0.026	1.000	0.092	0.008	0.030	0.016	0.010	0.104	0.162	0.167	0.042	0.048	0.049	0.013	0.030	0.042	0.044	0.046	0.010	0.031	0.089	0.036	0.046	0.035	0.122
EDUC	0.040	0.015	0.010	-0.062	0.058	0.017	0.026	0.030	0.028	0.064	0.092	1.000	0.032	0.073	0.055	0.147	0.397	0.031	0.089	-0.098	-0.023	-0.048	-0.104	0.070	0.045	0.103	0.073	0.032	0.146	-0.143	0.202	-0.088	0.073	0.011
HANDED	0.011	0.014	0.000	0.008	0.001	0.010	0.012	0.012	0.006	0.007	0.008	0.032	1.000	0.012	0.013	0.031	0.039	0.004	0.013	0.032	0.033	0.036	0.005	0.018	0.012	0.026	0.013	0.015	0.006	0.016	0.048	0.017	0.010	0.026
HEARAID	0.009	0.072	0.006	0.022	0.021	0.058	0.073	0.043	0.051	0.009	0.030	0.073	0.012	1.000	0.735	0.060	0.056	0.024	0.036	0.086	0.274	0.234	0.011	0.011	0.020	0.043	0.034	0.015	0.000	0.038	0.126	0.044	0.034	0.034
HEARING	0.012	0.069	0.004	0.024	0.032	0.061	0.075	0.056	0.057	0.000	0.016	0.055	0.013	0.735	1.000	0.056	0.034	0.033	0.048	0.083	0.281	0.252	0.007	0.020	0.021	0.021	0.040	0.020	0.037	0.028	0.137	0.051	0.039	0.032
HEIGHT	0.063	0.092	0.056	-0.035	0.034	0.015	0.043	0.024	0.028	0.046	0.010	0.147	0.031	0.060	0.056	1.000	0.169	0.028	0.049	-0.221	-0.128	-0.108	0.206	0.061	0.028	0.139	0.039	0.093	0.125	-0.101	0.649	0.065	0.093	0.528
HISPANIC	0.023	0.000	0.015	0.016	0.031	0.011	0.048	0.010	0.012	0.053	0.104	0.397	0.039	0.056	0.034	0.169	1.000	0.028	0.042	0.092	0.035	0.025	0.015	0.030	0.010	0.142	0.023	0.014	0.039	0.371	0.050	0.049	0.050	0.051
HYPERCHO	0.020	0.088	0.007	0.035	0.051	0.050	0.042	0.041	0.103	0.034	0.162	0.031	0.004	0.024	0.033	0.028	0.028	1.000	0.273	0.025	0.122	0.118	0.036	0.022	0.014	0.043	0.013	0.013	0.036	0.017	0.064	0.058	0.068	0.080
HYPERTEN	0.025	0.116	0.019	0.138	0.080	0.070	0.066	0.074	0.089	0.037	0.167	0.089	0.013	0.036	0.048	0.049	0.042	0.273	1.000	0.095	0.166	0.161	0.019	0.083	0.063	0.084	0.073	0.025	0.048	0.041	0.024	0.064	0.055	0.100
MARISTAT	0.043	0.042	-0.017	0.019	0.044	0.042	0.033	0.050	0.024	0.024	0.042	-0.098	0.032	0.086	0.083	-0.221	0.092	0.025	0.095	1.000	0.118	0.099	0.019	0.079	0.057	0.453	0.084	0.053	0.102	0.184	0.343	0.033	0.040	-0.124
NACCAGE	0.036	0.050	-0.168	0.126	0.087	0.103	0.122	0.106	0.080	0.087	0.048	-0.023	0.033	0.274	0.281	-0.128	0.035	0.122	0.166	0.118	1.000	0.921	-0.102	0.133	0.098	0.132	0.143	0.058	0.107	-0.032	0.036	0.075	0.098	-0.199
NACCAGEB	0.037	0.050	-0.162	0.127	0.086	0.094	0.114	0.100	0.078	0.086	0.049	-0.048	0.036	0.234	0.252	-0.108	0.025	0.118	0.161	0.099	0.921	1.000	-0.092	0.155	0.120	0.121	0.171	0.061	0.152	-0.019	0.045	0.070	0.095	-0.188
NACCBMI	0.012	0.000	0.127	0.098	0.038	0.008	0.003	0.024	0.015	0.036	0.013	-0.104	0.005	0.011	0.007	0.206	0.015	0.036	0.019	0.019	-0.102	-0.092	1.000	0.010	0.019	0.098	0.029	0.000	0.107	0.103	0.005	0.025	0.025	0.776
NACCDAD	0.009	0.009	0.012	0.036	0.020	0.034	0.030	0.034	0.031	0.017	0.030	0.070	0.018	0.011	0.020	0.061	0.030	0.022	0.083	0.079	0.133	0.155	0.010	1.000	0.397	0.067	0.002	0.015	0.023	0.010	0.033	0.041	0.010	0.039
NACCFAM	0.003	0.000	0.010	0.022	0.027	0.019	0.030	0.029	0.024	0.019	0.042	0.045	0.012	0.020	0.021	0.028	0.010	0.014	0.063	0.057	0.098	0.120	0.019	0.397	1.000	0.041	0.645	0.003	0.026	0.004	0.023	0.034	0.012	0.010
NACCLIVS	0.023	0.026	0.016	0.023	0.054	0.029	0.023	0.046	0.008	0.081	0.044	0.103	0.026	0.043	0.021	0.139	0.142	0.043	0.084	0.453	0.132	0.121	0.098	0.067	0.041	1.000	0.058	0.046	0.218	0.097	0.318	0.044	0.046	0.075
NACCMOM	0.000	0.000	0.014	0.029	0.042	0.024	0.029	0.040	0.032	0.018	0.046	0.073	0.013	0.034	0.040	0.039	0.023	0.013	0.073	0.084	0.143	0.171	0.029	0.002	0.645	0.058	1.000	0.004	0.064	0.009	0.040	0.036	0.017	0.014
NACCTBI	0.076	0.054	0.014	0.015	0.013	0.023	0.024	0.008	0.013	0.043	0.010	0.032	0.015	0.015	0.020	0.093	0.014	0.013	0.025	0.053	0.058	0.061	0.000	0.015	0.003	0.046	0.004	1.000	0.029	0.007	0.112	0.028	0.035	0.077
NACCUDSD	0.069	0.049	0.042	0.054	0.093	0.048	0.020	0.028	0.037	0.225	0.031	0.146	0.006	0.000	0.037	0.125	0.039	0.036	0.048	0.102	0.107	0.152	0.107	0.023	0.026	0.218	0.064	0.029	1.000	0.049	0.142	0.037	0.000	0.032
RACE	0.026	0.000	0.058	0.071	0.039	0.010	0.022	0.024	0.018	0.052	0.089	-0.143	0.016	0.038	0.028	-0.101	0.371	0.017	0.041	0.184	-0.032	-0.019	0.103	0.010	0.004	0.097	0.009	0.007	0.049	1.000	0.021	-0.002	0.016	0.032
SEX	0.130	0.181	0.000	0.008	0.020	0.023	0.075	0.019	0.110	0.034	0.036	0.202	0.048	0.126	0.137	0.649	0.050	0.064	0.024	0.343	0.036	0.045	0.005	0.033	0.023	0.318	0.040	0.112	0.142	0.021	1.000	0.102	0.105	0.434
SMOKYRS	0.128	0.026	-0.025	0.015	0.050	0.031	0.028	0.037	0.066	0.042	0.046	-0.088	0.017	0.044	0.051	0.065	0.049	0.058	0.064	0.033	0.075	0.070	0.025	0.041	0.034	0.044	0.036	0.028	0.037	-0.002	0.102	1.000	0.844	0.085
TOBAC100	0.153	0.029	0.002	0.008	0.021	0.021	0.034	0.023	0.062	0.030	0.035	0.073	0.010	0.034	0.039	0.093	0.050	0.068	0.055	0.040	0.098	0.095	0.025	0.010	0.012	0.046	0.017	0.035	0.000	0.016	0.105	0.844	1.000	0.079
WEIGHT	0.052	0.210	0.155	0.074	0.011	0.015	0.027	0.034	0.035	0.016	0.122	0.011	0.026	0.034	0.032	0.528	0.051	0.080	0.100	-0.124	-0.199	-0.188	0.776	0.039	0.010	0.075	0.014	0.077	0.032	0.032	0.434	0.085	0.079	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	NACCAGE	NACCAGEB	SEX	EDUC	MARISTAT	NACCLIVS	RACE	HISPANIC	HANDED	NACCFAM	NACCMOM	NACCDAD	TOBAC100	SMOKYRS	ALCOHOL	CVHATT	CVAFIB	CVCHF	CBSTROKE	CBTIA	DIABETES	HYPERTEN	HYPERCHO	NACCTBI	APNEA	DEP2YRS	NACCBMI	HEIGHT	WEIGHT	HEARING	HEARAID	BPSYS	BPDIAS	NACCUDSD
0	70.0	70.0	1	16.0	1.0	4.0	1.0	0.0	2.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	32.4	71.0	232.0	1.0	0.0	160.0	85.0	1
1	71.0	70.0	1	16.0	1.0	2.0	1.0	0.0	2.0	1.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	30.7	71.0	220.0	1.0	0.0	175.0	84.0	1
2	66.0	66.0	1	16.0	1.0	2.0	1.0	0.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	23.7	72.0	175.0	1.0	0.0	149.0	86.0	0
3	63.0	63.0	2	16.0	1.0	2.0	1.0	1.0	2.0	NaN	NaN	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	888.8	88.8	NaN	1.0	0.0	NaN	NaN	1
4	77.0	77.0	1	12.0	3.0	1.0	1.0	1.0	2.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	19.0	65.0	114.0	0.0	0.0	148.0	75.0	0
5	81.0	81.0	2	7.0	3.0	1.0	1.0	1.0	2.0	1.0	0.0	0.0	1.0	27.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	NaN	0.0	0.0	22.1	63.0	125.0	0.0	1.0	139.0	46.0	1
6	86.0	86.0	1	20.0	1.0	2.0	1.0	0.0	2.0	0.0	0.0	0.0	1.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	28.9	71.0	207.0	0.0	1.0	117.0	60.0	1
7	87.0	86.0	1	20.0	1.0	2.0	1.0	0.0	2.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27.8	71.0	199.0	0.0	1.0	152.0	70.0	1
8	74.0	74.0	1	18.0	1.0	2.0	1.0	1.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0.0	26.4	73.5	203.0	0.0	1.0	137.0	NaN	0
9	76.0	76.0	1	14.0	1.0	2.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	0.0	30.4	71.0	218.0	0.0	0.0	135.0	119.0	1

	NACCAGE	NACCAGEB	SEX	EDUC	MARISTAT	NACCLIVS	RACE	HISPANIC	HANDED	NACCFAM	NACCMOM	NACCDAD	TOBAC100	SMOKYRS	ALCOHOL	CVHATT	CVAFIB	CVCHF	CBSTROKE	CBTIA	DIABETES	HYPERTEN	HYPERCHO	NACCTBI	APNEA	DEP2YRS	NACCBMI	HEIGHT	WEIGHT	HEARING	HEARAID	BPSYS	BPDIAS	NACCUDSD
195186	53.0	53.0	2	16.0	5.0	1.0	3.0	1.0	2.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	888.8	88.8	161.0	1.0	0.0	116.0	71.0	0
195187	54.0	53.0	2	16.0	5.0	1.0	3.0	1.0	2.0	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0
195188	55.0	53.0	2	16.0	5.0	1.0	3.0	1.0	2.0	NaN	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	26.2	64.9	157.0	1.0	0.0	118.0	76.0	1
195189	70.0	70.0	2	13.0	2.0	1.0	2.0	0.0	2.0	NaN	0.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	2.0	0.0	1.0	1.0	1.0	0.0	NaN	0.0	888.8	88.8	NaN	0.0	1.0	154.0	77.0	1
195190	71.0	70.0	2	13.0	4.0	1.0	2.0	0.0	2.0	NaN	0.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	NaN	1.0	888.8	88.8	NaN	0.0	1.0	120.0	60.0	1
195191	72.0	70.0	2	13.0	4.0	4.0	2.0	0.0	2.0	NaN	0.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	2.0	0.0	1.0	1.0	1.0	0.0	NaN	0.0	888.8	88.8	NaN	0.0	1.0	142.0	73.0	1
195192	87.0	87.0	1	13.0	2.0	1.0	1.0	0.0	2.0	NaN	0.0	0.0	1.0	40.0	0.0	1.0	0.0	0.0	2.0	0.0	0.0	1.0	1.0	0.0	NaN	0.0	26.8	71.7	196.0	0.0	1.0	157.0	60.0	1
195193	89.0	87.0	1	13.0	2.0	1.0	1.0	0.0	2.0	NaN	0.0	0.0	1.0	40.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1.0	1.0	0.0	NaN	NaN	27.1	72.0	200.0	0.0	0.0	132.0	71.0	1
195194	89.0	87.0	1	13.0	2.0	1.0	1.0	0.0	2.0	NaN	0.0	0.0	1.0	40.0	0.0	2.0	0.0	1.0	2.0	0.0	0.0	1.0	1.0	0.0	NaN	0.0	25.5	73.0	193.0	0.0	1.0	105.0	54.0	1
195195	61.0	61.0	2	18.0	4.0	3.0	1.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	26.7	59.0	132.0	1.0	0.0	104.0	55.0	0

Duplicate rows

Most frequently occurring

	NACCAGE	NACCAGEB	SEX	EDUC	MARISTAT	NACCLIVS	RACE	HANDED	NACCFAM	NACCMOM	TOBAC100	SMOKYRS	ALCOHOL	CVHATT	CVAFIB	CVCHF	CBSTROKE	CBTIA	DIABETES	HYPERTEN	HYPERCHO	NACCTBI	APNEA	DEP2YRS	NACCBMI	HEIGHT	WEIGHT	HEARING	HEARAID	BPSYS	BPDIAS	NACCUDSD	# duplicates
458	72.0	70.0	2	18.0	1.0	2.0	1.0	2.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	6
117	65.0	63.0	1	16.0	1.0	2.0	1.0	2.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	5
857	79.0	75.0	1	18.0	1.0	2.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	5
982	81.0	77.0	2	12.0	1.0	2.0	1.0	2.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	5
992	81.0	78.0	2	18.0	1.0	2.0	1.0	2.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	5
149	66.0	64.0	1	16.0	1.0	2.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	4
196	67.0	65.0	2	16.0	1.0	2.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	4
214	68.0	60.0	2	16.0	1.0	2.0	1.0	2.0	1.0	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	4
285	69.0	65.0	2	18.0	1.0	2.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	4
387	71.0	69.0	1	16.0	1.0	2.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)